
The cornerstone of cybersecurity lies in password security. Keeper offers a robust password security platform designed to shield your organization from cyber threats and data breaches associated with password vulnerabilities.
Studies indicate that a staggering 81% of data breaches stem from inadequate password practices. Utilizing a password security solution is a cost-effective and straightforward method for businesses to tackle the underlying issues that lead to most data breaches. By adopting Keeper, your organization can greatly lower the chances of experiencing a data breach.
Keeper generates strong passwords for every application and website, ensuring they are securely stored across all devices. Each employee is provided with a personal vault to manage and safeguard their passwords, credentials, and files, along with sensitive client information. This alleviates the hassle of remembering or resetting passwords and eliminates the need to reuse them. Additionally, maintaining industry compliance is facilitated by stringent and customizable role-based access controls, inclusive of two-factor authentication, usage audits, and detailed event reporting. Furthermore, the implementation of Keeper not only enhances security but also promotes a culture of accountability and vigilance within your organization.
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Venn is transforming the way organizations manage BYOD workforces by alleviating the challenges associated with purchasing and safeguarding laptops or managing virtual desktops. Their innovative technology offers a fresh perspective on securing remote staff and contractors who utilize unmanaged devices. By utilizing Venn’s Blue Border™ software, businesses can create a company-managed Secure Enclave on the user’s personal computer, which allows IT departments to protect corporate data while respecting the privacy of end users. With over 700 clients, such as Fidelity, Guardian, and Voya, Venn has established itself as a trusted partner in compliance with FINRA, SEC, NAIC, and SOC 2 regulations. Discover more about their solutions at venn.com, where a commitment to enhancing workplace security meets user convenience.
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Google Cloud Confidential VMs
Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.
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NVIDIA Confidential Computing
NVIDIA Confidential Computing provides robust protection for data during active processing, ensuring that AI models and workloads are secure while executing by leveraging hardware-based trusted execution environments found in NVIDIA Hopper and Blackwell architectures, along with compatible systems. This cutting-edge technology enables businesses to conduct AI training and inference effortlessly, whether it’s on-premises, in the cloud, or at edge sites, without the need for alterations to the model's code, all while safeguarding the confidentiality and integrity of their data and models. Key features include a zero-trust isolation mechanism that effectively separates workloads from the host operating system or hypervisor, device attestation that ensures only authorized NVIDIA hardware is executing the tasks, and extensive compatibility with shared or remote infrastructures, making it suitable for independent software vendors, enterprises, and multi-tenant environments. By securing sensitive AI models, inputs, weights, and inference operations, NVIDIA Confidential Computing allows for the execution of high-performance AI applications without compromising on security or efficiency. This capability not only enhances operational performance but also empowers organizations to confidently pursue innovation, with the assurance that their proprietary information will remain protected throughout all stages of the operational lifecycle. As a result, businesses can focus on advancing their AI strategies without the constant worry of potential security breaches.
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